AI-Based Collaborative Teaching: Strategies and Analysis in Visual Communication Design

Authors

  • Songhua Liu
  • Jing Li
  • Jiannan Zheng

DOI:

https://doi.org/10.3991/ijet.v18i23.45635

Keywords:

AI, collaborative teaching, visual communication design, teaching model, demand forecasting

Abstract


With the rapid development of technology, AI has been widely applied in multiple fields, especially the field of education. As a discipline involving art, technology and creativity, visual communication design is facing the challenge of keeping up with the times and combining new technologies for innovation. Collaborative teaching model emphasizes multi-party participation and collaborative learning, and its proposal has injected new vitality into traditional educational patterns. However, existing studies, which combine collaborative teaching model with artificial intelligence, still have limitations in application and practice, and most of them remain in the theoretical discussion stage and lack empirical support. This study aimed to make up for this deficiency. After in-depth analysis of educational data, a forecasting model of collaborative teaching demand based on AI was proposed. Course content suitable for the collaborative teaching model was further planned for the education in visual communication design.

Cover iJET – Vol 18, No 23, 2023

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Published

2023-12-05

How to Cite

Liu, S. ., Li, J. ., & Zheng, J. . (2023). AI-Based Collaborative Teaching: Strategies and Analysis in Visual Communication Design. International Journal of Emerging Technologies in Learning (iJET), 18(23), pp. 182–196. https://doi.org/10.3991/ijet.v18i23.45635

Issue

Vol. 18 No. 23 (2023)

Section

Papers

License

Copyright (c) 2023 Nan Zhang (Submitter); Songhua Liu, Jing Li, Jiannan Zheng

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